OPT OpenIR  > 光谱成像技术研究室
Learning Saliency by MRF and Differential Threshold
Zhu, Guokang; Wang, Qi; Yuan, Yuan; Yan, Pingkun
作者部门光学影像学习与分析中心
2013-12-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
卷号43期号:6页码:2032-2043
产权排序1
摘要Saliency detection has been an attractive topic in recent years. The reliable detection of saliency can help a lot of useful processing without prior knowledge about the scene, such as content-aware image compression, segmentation, etc. Although many efforts have been spent in this subject, the feature expression and model construction are far from perfect. The obtained saliency maps are therefore not satisfying enough. In order to overcome these challenges, this paper presents a new psychologic visual feature based on differential threshold and applies it in a supervised Markov-random-field framework. Experiments on two public data sets and an image retargeting application demonstrate the effectiveness, robustness, and practicability of the proposed method.
文章类型Article
关键词Computer Vision Differential Threshold Machine Learning Markov Random Field (Mrf) Saliency Detection Visual Attention
WOS标题词Science & Technology ; Technology
DOI10.1109/TSMCB.2013.2238927
收录类别SCI ; EI
关键词[WOS]SELECTIVE VISUAL-ATTENTION ; OBJECT RECOGNITION ; REGION DETECTION ; CLUTTERED SCENES ; IMAGE ; COLOR ; SEGMENTATION ; MODEL ; CONTRAST ; CONTEXT
语种英语
WOS研究方向Computer Science
项目资助者National Basic Research Program of China (973 Program)(2011CB707104) ; National Natural Science Foundation of China(61172142 ; Natural Science Foundation Research Project of Shaanxi Province(2012JM8024) ; 50th China Postdoctoral Science Foundation(2011M501487) ; 61172143 ; 61105012 ; 61125106 ; 91120302)
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000327647500042
引用统计
被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/23182
专题光谱成像技术研究室
作者单位Chinese Acad Sci, Xian Inst Optic & Precis Mech, State Key Lab Transient Optic & Photon, OPTIMAL, Xian 710119, u, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Guokang,Wang, Qi,Yuan, Yuan,et al. Learning Saliency by MRF and Differential Threshold[J]. IEEE TRANSACTIONS ON CYBERNETICS,2013,43(6):2032-2043.
APA Zhu, Guokang,Wang, Qi,Yuan, Yuan,&Yan, Pingkun.(2013).Learning Saliency by MRF and Differential Threshold.IEEE TRANSACTIONS ON CYBERNETICS,43(6),2032-2043.
MLA Zhu, Guokang,et al."Learning Saliency by MRF and Differential Threshold".IEEE TRANSACTIONS ON CYBERNETICS 43.6(2013):2032-2043.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Learning Saliency by(1929KB)期刊论文出版稿限制开放CC BY请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhu, Guokang]的文章
[Wang, Qi]的文章
[Yuan, Yuan]的文章
百度学术
百度学术中相似的文章
[Zhu, Guokang]的文章
[Wang, Qi]的文章
[Yuan, Yuan]的文章
必应学术
必应学术中相似的文章
[Zhu, Guokang]的文章
[Wang, Qi]的文章
[Yuan, Yuan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。